• A. Govintharaj
• R. Bhuvaneshwaran
• M. Gowtham
• Manikandan
• Dr .S. Ezhilarasan

The article describes designing, modeling, and testing of the automated gesture recognition system, with access and control from wearable mobile devices. It will help people with disabilities to communicate with people who do not understand gesture language. For example, during a painful attack on Board the aircraft to ask doctor help. The developed system consists of оf subsystems that perform tasks of authorization, recording, storage, and conversion of video, sending data to the server and recognition. The neural network with error back propagation is used for recognition. The topology of the used neural network is perception. This is a prototype system that works under light conditions, and in the future will be refined.

cloud computing, neural network, portable devices, gesture recognition, mobile automated system

"Automated Support System Designing for People With Limited Communication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.151-157, May-2019, Available :http://www.jetir.org/papers/JETIRCI06034.pdf

"Automated Support System Designing for People With Limited Communication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp151-157, May-2019, Available at : http://www.jetir.org/papers/JETIRCI06034.pdf